Overview

Brought to you by YData

Dataset statistics

Number of variables39
Number of observations18
Missing cells193
Missing cells (%)27.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory319.3 B

Variable types

Text10
DateTime1
Boolean7
Unsupported4
Categorical17

Alerts

Do you give your consent for us to collect your data? has constant value "True" Constant
Become believers in Jesus Christ is highly overall correlated with Developed a deeper relationship with Jesus and other believers and 9 other fieldsHigh correlation
Calculate how many of these people experience a better quality of life by working directly or indirectly to benefit the stakeholders of the community indicated in the previous answers (be as precise as possible!) is highly overall correlated with Did you found or co-found the business? and 2 other fieldsHigh correlation
Developed a deeper relationship with Jesus and other believers is highly overall correlated with Become believers in Jesus Christ and 9 other fieldsHigh correlation
Did you found or co-found the business? is highly overall correlated with Become believers in Jesus Christ and 6 other fieldsHigh correlation
Did you hire new people compared to last year? is highly overall correlated with Prayer request and/or prayed with you or with a colleagueHigh correlation
Did you raise external investments for your business in the past through family, friends, financial institutions, or other sources of investment capital? If so, how much? Calculate the exact accumulated investment (in local currency). DO NOT include your own savings (an estimate is fine). is highly overall correlated with Do you currently have a business operating? and 2 other fieldsHigh correlation
Do you currently have a business operating? is highly overall correlated with Become believers in Jesus Christ and 6 other fieldsHigh correlation
Does the previous number represent an increase or a decrease in your business income compared to the previous year? is highly overall correlated with Become believers in Jesus Christ and 5 other fieldsHigh correlation
Does your company work directly or indirectly with your community and/or your supply chains? is highly overall correlated with Become believers in Jesus Christ and 4 other fieldsHigh correlation
How many PART-TIME paid employees (including casual workers) do you currently have? (an estimate is fine). is highly overall correlated with Become believers in Jesus Christ and 3 other fieldsHigh correlation
How many times did you refuse to pay or accept a bribe as a direct result of your experience with CMF Marketplace Mexico - Sinapis? is highly overall correlated with How would you classify the current stage of your business?High correlation
How would you classify the current stage of your business? is highly overall correlated with Become believers in Jesus Christ and 4 other fieldsHigh correlation
In which of the following ways does your company work with the community/supply chain? is highly overall correlated with Become believers in Jesus Christ and 4 other fieldsHigh correlation
Is your company officially registered with the SAT? is highly overall correlated with Developed a deeper relationship with Jesus and other believers and 3 other fieldsHigh correlation
Prayer request and/or prayed with you or with a colleague is highly overall correlated with Become believers in Jesus Christ and 9 other fieldsHigh correlation
Received information about the Gospel and wanted to know more is highly overall correlated with Become believers in Jesus Christ and 7 other fieldsHigh correlation
Since completing the CMF Marketplace Mexico - Sinapis program, have you been asked to pay or accept any bribes? is highly overall correlated with Did you raise external investments for your business in the past through family, friends, financial institutions, or other sources of investment capital? If so, how much? Calculate the exact accumulated investment (in local currency). DO NOT include your own savings (an estimate is fine). and 1 other fieldsHigh correlation
To what extent do you agree with the following statement? My experience with Aspire - Sinapis (during the program and post-program as an alumni) continues to have a significant impact on the results of my current business. is highly overall correlated with Developed a deeper relationship with Jesus and other believers and 1 other fieldsHigh correlation
To what extent do you agree with the statement? CMF Marketplace Mexico - Sinapis saved my business from failure. is highly overall correlated with Developed a deeper relationship with Jesus and other believers and 4 other fieldsHigh correlation
Understood what a Kingdom business is and/or been able to describe it to others is highly overall correlated with Does the previous number represent an increase or a decrease in your business income compared to the previous year? and 2 other fieldsHigh correlation
What is your position in the business? is highly overall correlated with Did you found or co-found the business?High correlation
What is your sustainable business approach regarding environmental care? is highly overall correlated with Calculate how many of these people experience a better quality of life by working directly or indirectly to benefit the stakeholders of the community indicated in the previous answers (be as precise as possible!) and 1 other fieldsHigh correlation
Did you found or co-found the business? is highly imbalanced (69.0%) Imbalance
What is your position in the business? is highly imbalanced (54.3%) Imbalance
Calculate how many of these people experience a better quality of life by working directly or indirectly to benefit the stakeholders of the community indicated in the previous answers (be as precise as possible!) is highly imbalanced (56.1%) Imbalance
Please provide the name of your business has 18 (100.0%) missing values Missing
How would you classify the current stage of your business? has 1 (5.6%) missing values Missing
During the past year, how much revenue (sales/turnover) did your company generate PER MONTH? If you have a business but have not generated any revenue yet, please write 0. Use the local currency. has 3 (16.7%) missing values Missing
Does the previous number represent an increase or a decrease in your business income compared to the previous year? has 8 (44.4%) missing values Missing
If you answered Increased or Decreased, can you estimate by how much it increased or decreased? has 8 (44.4%) missing values Missing
Did you hire new people compared to last year? has 1 (5.6%) missing values Missing
If the answer is yes, how many more people did you hire? has 10 (55.6%) missing values Missing
How many full-time paid employees, including yourself, do you currently have? (an estimate is fine). If it's just you, please put 1. has 2 (11.1%) missing values Missing
How many PART-TIME paid employees (including casual workers) do you currently have? (an estimate is fine). has 4 (22.2%) missing values Missing
Did you raise external investments for your business in the past through family, friends, financial institutions, or other sources of investment capital? If so, how much? Calculate the exact accumulated investment (in local currency). DO NOT include your own savings (an estimate is fine). has 3 (16.7%) missing values Missing
Does your company work directly or indirectly with your community and/or your supply chains? has 1 (5.6%) missing values Missing
In which of the following ways does your company work with the community/supply chain? has 3 (16.7%) missing values Missing
If possible, please explain in more detail how your company is related to the community/supply chain. has 10 (55.6%) missing values Missing
Calculate how many of these people experience a better quality of life by working directly or indirectly to benefit the stakeholders of the community indicated in the previous answers (be as precise as possible!) has 7 (38.9%) missing values Missing
If you answered More than 1000, calculate the exact number. has 18 (100.0%) missing values Missing
What is your sustainable business approach regarding environmental care? has 4 (22.2%) missing values Missing
What environmental sustainability practices have you incorporated into your business? has 6 (33.3%) missing values Missing
To what extent do you agree with the following statement? My experience with Aspire - Sinapis (during the program and post-program as an alumni) continues to have a significant impact on the results of my current business. has 1 (5.6%) missing values Missing
To what extent do you agree with the statement? CMF Marketplace Mexico - Sinapis saved my business from failure. has 1 (5.6%) missing values Missing
How does it feel to pay or accept a bribe? has 1 (5.6%) missing values Missing
Since completing the CMF Marketplace Mexico - Sinapis program, have you been asked to pay or accept any bribes? has 1 (5.6%) missing values Missing
How many times did you refuse to pay or accept a bribe as a direct result of your experience with CMF Marketplace Mexico - Sinapis? has 1 (5.6%) missing values Missing
Do you have any comments you would like to share about how your experience with CMF Marketplace Mexico - Sinapis has continued to impact you or your business? has 6 (33.3%) missing values Missing
In which areas of your business are you facing the most difficulties? In which areas do you feel you need more training? (You can select more than one option). has 1 (5.6%) missing values Missing
Please write your full name. has 18 (100.0%) missing values Missing
Please share the best phone number to contact you. has 18 (100.0%) missing values Missing
Understood what a Kingdom business is and/or been able to describe it to others has 4 (22.2%) missing values Missing
Received information about the Gospel and wanted to know more has 8 (44.4%) missing values Missing
Prayer request and/or prayed with you or with a colleague has 6 (33.3%) missing values Missing
Become believers in Jesus Christ has 10 (55.6%) missing values Missing
Developed a deeper relationship with Jesus and other believers has 10 (55.6%) missing values Missing
respondentId has unique values Unique
answeredAt has unique values Unique
Please provide the name of your business is an unsupported type, check if it needs cleaning or further analysis Unsupported
If you answered More than 1000, calculate the exact number. is an unsupported type, check if it needs cleaning or further analysis Unsupported
Please write your full name. is an unsupported type, check if it needs cleaning or further analysis Unsupported
Please share the best phone number to contact you. is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2025-05-27 18:10:02.438520
Analysis finished2025-05-27 18:10:03.887437
Duration1.45 second
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

respondentId
Text

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size276.0 B
2025-05-27T14:10:03.943412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters162
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st rowHDDJ-1466
2nd rowBDFJ-2945
3rd rowGEBB-2131
4th rowIBIA-3684
5th rowIGDE-7247
ValueCountFrequency (%)
hddj-1466 1
 
5.6%
bdfj-2945 1
 
5.6%
gebb-2131 1
 
5.6%
ibia-3684 1
 
5.6%
igde-7247 1
 
5.6%
ejhd-4569 1
 
5.6%
bcag-9319 1
 
5.6%
cccf-5848 1
 
5.6%
jicj-9426 1
 
5.6%
efbb-3055 1
 
5.6%
Other values (8) 8
44.4%
2025-05-27T14:10:04.208335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 18
 
11.1%
9 11
 
6.8%
B 11
 
6.8%
5 10
 
6.2%
J 9
 
5.6%
C 9
 
5.6%
E 9
 
5.6%
3 8
 
4.9%
6 8
 
4.9%
4 8
 
4.9%
Other values (11) 61
37.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 162
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 18
 
11.1%
9 11
 
6.8%
B 11
 
6.8%
5 10
 
6.2%
J 9
 
5.6%
C 9
 
5.6%
E 9
 
5.6%
3 8
 
4.9%
6 8
 
4.9%
4 8
 
4.9%
Other values (11) 61
37.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 162
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 18
 
11.1%
9 11
 
6.8%
B 11
 
6.8%
5 10
 
6.2%
J 9
 
5.6%
C 9
 
5.6%
E 9
 
5.6%
3 8
 
4.9%
6 8
 
4.9%
4 8
 
4.9%
Other values (11) 61
37.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 162
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 18
 
11.1%
9 11
 
6.8%
B 11
 
6.8%
5 10
 
6.2%
J 9
 
5.6%
C 9
 
5.6%
E 9
 
5.6%
3 8
 
4.9%
6 8
 
4.9%
4 8
 
4.9%
Other values (11) 61
37.7%

answeredAt
Date

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size276.0 B
Minimum2025-04-07 20:15:40
Maximum2025-05-10 05:13:07
Invalid dates0
Invalid dates (%)0.0%
2025-05-27T14:10:04.237694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-27T14:10:04.265699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
Distinct1
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size150.0 B
True
18 
ValueCountFrequency (%)
True 18
100.0%
2025-05-27T14:10:04.288719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size150.0 B
True
16 
False
ValueCountFrequency (%)
True 16
88.9%
False 2
 
11.1%
2025-05-27T14:10:04.304556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Please provide the name of your business
Unsupported

Missing  Rejected  Unsupported 

Missing18
Missing (%)100.0%
Memory size276.0 B

Did you found or co-found the business?
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size150.0 B
True
17 
False
 
1
ValueCountFrequency (%)
True 17
94.4%
False 1
 
5.6%
2025-05-27T14:10:04.318020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

What is your position in the business?
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size276.0 B
Chief Executive Officer/President
15 
Another
 
1
Employee
 
1
Another Executive Position
 
1

Length

Max length33
Median length33
Mean length29.777778
Min length7

Characters and Unicode

Total characters536
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)16.7%

Sample

1st rowChief Executive Officer/President
2nd rowAnother
3rd rowChief Executive Officer/President
4th rowChief Executive Officer/President
5th rowChief Executive Officer/President

Common Values

ValueCountFrequency (%)
Chief Executive Officer/President 15
83.3%
Another 1
 
5.6%
Employee 1
 
5.6%
Another Executive Position 1
 
5.6%

Length

2025-05-27T14:10:04.340865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:04.359534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
executive 16
32.0%
chief 15
30.0%
officer/president 15
30.0%
another 2
 
4.0%
employee 1
 
2.0%
position 1
 
2.0%

Most occurring characters

ValueCountFrequency (%)
e 96
17.9%
i 63
11.8%
f 45
 
8.4%
t 34
 
6.3%
32
 
6.0%
r 32
 
6.0%
c 31
 
5.8%
n 18
 
3.4%
h 17
 
3.2%
E 17
 
3.2%
Other values (15) 151
28.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 536
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 96
17.9%
i 63
11.8%
f 45
 
8.4%
t 34
 
6.3%
32
 
6.0%
r 32
 
6.0%
c 31
 
5.8%
n 18
 
3.4%
h 17
 
3.2%
E 17
 
3.2%
Other values (15) 151
28.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 536
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 96
17.9%
i 63
11.8%
f 45
 
8.4%
t 34
 
6.3%
32
 
6.0%
r 32
 
6.0%
c 31
 
5.8%
n 18
 
3.4%
h 17
 
3.2%
E 17
 
3.2%
Other values (15) 151
28.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 536
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 96
17.9%
i 63
11.8%
f 45
 
8.4%
t 34
 
6.3%
32
 
6.0%
r 32
 
6.0%
c 31
 
5.8%
n 18
 
3.4%
h 17
 
3.2%
E 17
 
3.2%
Other values (15) 151
28.2%
Distinct10
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size276.0 B
2025-05-27T14:10:04.416830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length42
Median length40
Mean length24.222222
Min length9

Characters and Unicode

Total characters436
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)33.3%

Sample

1st rowServices and Consulting
2nd rowProduct Marketing
3rd rowProduct Marketing
4th rowServices and Consulting
5th rowProduct Marketing
ValueCountFrequency (%)
product 6
 
12.0%
marketing 6
 
12.0%
and 5
 
10.0%
manufacturing 2
 
4.0%
textile 2
 
4.0%
automotive 2
 
4.0%
wood 2
 
4.0%
clothing 2
 
4.0%
fashion 2
 
4.0%
consulting 2
 
4.0%
Other values (18) 19
38.0%
2025-05-27T14:10:04.509960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 34
 
7.8%
o 33
 
7.6%
t 33
 
7.6%
32
 
7.3%
i 32
 
7.3%
r 29
 
6.7%
a 27
 
6.2%
e 26
 
6.0%
c 21
 
4.8%
u 18
 
4.1%
Other values (30) 151
34.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 436
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 34
 
7.8%
o 33
 
7.6%
t 33
 
7.6%
32
 
7.3%
i 32
 
7.3%
r 29
 
6.7%
a 27
 
6.2%
e 26
 
6.0%
c 21
 
4.8%
u 18
 
4.1%
Other values (30) 151
34.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 436
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 34
 
7.8%
o 33
 
7.6%
t 33
 
7.6%
32
 
7.3%
i 32
 
7.3%
r 29
 
6.7%
a 27
 
6.2%
e 26
 
6.0%
c 21
 
4.8%
u 18
 
4.1%
Other values (30) 151
34.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 436
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 34
 
7.8%
o 33
 
7.6%
t 33
 
7.6%
32
 
7.3%
i 32
 
7.3%
r 29
 
6.7%
a 27
 
6.2%
e 26
 
6.0%
c 21
 
4.8%
u 18
 
4.1%
Other values (30) 151
34.6%

How would you classify the current stage of your business?
Categorical

High correlation  Missing 

Distinct7
Distinct (%)41.2%
Missing1
Missing (%)5.6%
Memory size276.0 B
Customer traction/early revenue: product in small markets, generating early revenue and likely making initial hires.
Solidifying operations: acquiring more clients, making key high-level hires, and moving towards a positive cash flow.
Problem identification: You have identified a problem, but you do not have a solution idea yet.
Rapid growth: observing a strong and steady customer demand, generating significant revenues and positive cash flow.
Starting to see strong revenue traction: the product or service is selling consistently, generating revenue, and securing key hires.
Other values (2)

Length

Max length132
Median length117
Mean length108.41176
Min length6

Characters and Unicode

Total characters1843
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)5.9%

Sample

1st rowProblem identification: You have identified a problem, but you do not have a solution idea yet.
2nd rowCustomer traction/early revenue: product in small markets, generating early revenue and likely making initial hires.
3rd rowRapid growth: observing a strong and steady customer demand, generating significant revenues and positive cash flow.
4th rowCustomer traction/early revenue: product in small markets, generating early revenue and likely making initial hires.
5th rowRapid growth: observing a strong and steady customer demand, generating significant revenues and positive cash flow.

Common Values

ValueCountFrequency (%)
Customer traction/early revenue: product in small markets, generating early revenue and likely making initial hires. 5
27.8%
Solidifying operations: acquiring more clients, making key high-level hires, and moving towards a positive cash flow. 3
16.7%
Problem identification: You have identified a problem, but you do not have a solution idea yet. 2
 
11.1%
Rapid growth: observing a strong and steady customer demand, generating significant revenues and positive cash flow. 2
 
11.1%
Starting to see strong revenue traction: the product or service is selling consistently, generating revenue, and securing key hires. 2
 
11.1%
Idea/Concept: He formed an idea, but has not yet built a prototype or taken his product/service to the market. 2
 
11.1%
Failed 1
 
5.6%
(Missing) 1
 
5.6%

Length

2025-05-27T14:10:04.541804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:04.570058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
revenue 14
 
5.3%
and 14
 
5.3%
a 11
 
4.2%
hires 10
 
3.8%
generating 9
 
3.4%
making 8
 
3.0%
customer 7
 
2.7%
product 7
 
2.7%
initial 5
 
1.9%
positive 5
 
1.9%
Other values (59) 174
65.9%

Most occurring characters

ValueCountFrequency (%)
247
13.4%
e 193
 
10.5%
i 145
 
7.9%
n 128
 
6.9%
t 121
 
6.6%
a 119
 
6.5%
r 115
 
6.2%
o 97
 
5.3%
s 80
 
4.3%
l 67
 
3.6%
Other values (27) 531
28.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1843
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
247
13.4%
e 193
 
10.5%
i 145
 
7.9%
n 128
 
6.9%
t 121
 
6.6%
a 119
 
6.5%
r 115
 
6.2%
o 97
 
5.3%
s 80
 
4.3%
l 67
 
3.6%
Other values (27) 531
28.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1843
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
247
13.4%
e 193
 
10.5%
i 145
 
7.9%
n 128
 
6.9%
t 121
 
6.6%
a 119
 
6.5%
r 115
 
6.2%
o 97
 
5.3%
s 80
 
4.3%
l 67
 
3.6%
Other values (27) 531
28.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1843
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
247
13.4%
e 193
 
10.5%
i 145
 
7.9%
n 128
 
6.9%
t 121
 
6.6%
a 119
 
6.5%
r 115
 
6.2%
o 97
 
5.3%
s 80
 
4.3%
l 67
 
3.6%
Other values (27) 531
28.8%
Distinct2
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size150.0 B
True
False
ValueCountFrequency (%)
True 9
50.0%
False 9
50.0%
2025-05-27T14:10:04.615525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct15
Distinct (%)100.0%
Missing3
Missing (%)16.7%
Memory size276.0 B
2025-05-27T14:10:04.670789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length62
Median length12
Mean length15.8
Min length1

Characters and Unicode

Total characters237
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row0
2nd row0.00
3rd row$250,000 pesos per month
4th row8,000
5th row$250,000 per month
ValueCountFrequency (%)
250,000 2
 
4.9%
pesos 2
 
4.9%
per 2
 
4.9%
month 2
 
4.9%
the 2
 
4.9%
0 1
 
2.4%
over 1
 
2.4%
30k 1
 
2.4%
250 1
 
2.4%
million 1
 
2.4%
Other values (26) 26
63.4%
2025-05-27T14:10:04.763521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
15.6%
26
 
11.0%
t 15
 
6.3%
e 13
 
5.5%
o 12
 
5.1%
s 11
 
4.6%
h 9
 
3.8%
, 9
 
3.8%
n 9
 
3.8%
a 8
 
3.4%
Other values (28) 88
37.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 237
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 37
15.6%
26
 
11.0%
t 15
 
6.3%
e 13
 
5.5%
o 12
 
5.1%
s 11
 
4.6%
h 9
 
3.8%
, 9
 
3.8%
n 9
 
3.8%
a 8
 
3.4%
Other values (28) 88
37.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 237
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 37
15.6%
26
 
11.0%
t 15
 
6.3%
e 13
 
5.5%
o 12
 
5.1%
s 11
 
4.6%
h 9
 
3.8%
, 9
 
3.8%
n 9
 
3.8%
a 8
 
3.4%
Other values (28) 88
37.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 237
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 37
15.6%
26
 
11.0%
t 15
 
6.3%
e 13
 
5.5%
o 12
 
5.1%
s 11
 
4.6%
h 9
 
3.8%
, 9
 
3.8%
n 9
 
3.8%
a 8
 
3.4%
Other values (28) 88
37.1%
Distinct2
Distinct (%)20.0%
Missing8
Missing (%)44.4%
Memory size276.0 B
Increased
It decreased

Length

Max length12
Median length9
Mean length9.6
Min length9

Characters and Unicode

Total characters96
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIt decreased
2nd rowIncreased
3rd rowIncreased
4th rowIncreased
5th rowIncreased

Common Values

ValueCountFrequency (%)
Increased 8
44.4%
It decreased 2
 
11.1%
(Missing) 8
44.4%

Length

2025-05-27T14:10:04.793446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:04.810090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
increased 8
66.7%
it 2
 
16.7%
decreased 2
 
16.7%

Most occurring characters

ValueCountFrequency (%)
e 22
22.9%
d 12
12.5%
I 10
10.4%
c 10
10.4%
r 10
10.4%
a 10
10.4%
s 10
10.4%
n 8
 
8.3%
t 2
 
2.1%
2
 
2.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 96
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 22
22.9%
d 12
12.5%
I 10
10.4%
c 10
10.4%
r 10
10.4%
a 10
10.4%
s 10
10.4%
n 8
 
8.3%
t 2
 
2.1%
2
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 96
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 22
22.9%
d 12
12.5%
I 10
10.4%
c 10
10.4%
r 10
10.4%
a 10
10.4%
s 10
10.4%
n 8
 
8.3%
t 2
 
2.1%
2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 96
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 22
22.9%
d 12
12.5%
I 10
10.4%
c 10
10.4%
r 10
10.4%
a 10
10.4%
s 10
10.4%
n 8
 
8.3%
t 2
 
2.1%
2
 
2.1%
Distinct10
Distinct (%)100.0%
Missing8
Missing (%)44.4%
Memory size276.0 B
2025-05-27T14:10:04.861265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length71
Median length29.5
Mean length15.6
Min length2

Characters and Unicode

Total characters156
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st row80%
2nd rowYes, around 25%.
3rd row25%
4th row12%
5th row$10000.00
ValueCountFrequency (%)
25 2
 
6.5%
5 2
 
6.5%
80 1
 
3.2%
in 1
 
3.2%
also 1
 
3.2%
was 1
 
3.2%
amount 1
 
3.2%
the 1
 
3.2%
and 1
 
3.2%
months 1
 
3.2%
Other values (19) 19
61.3%
2025-05-27T14:10:04.948193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
13.5%
e 14
 
9.0%
0 11
 
7.1%
a 9
 
5.8%
2 8
 
5.1%
r 8
 
5.1%
o 7
 
4.5%
s 6
 
3.8%
n 6
 
3.8%
% 6
 
3.8%
Other values (25) 60
38.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 156
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
21
 
13.5%
e 14
 
9.0%
0 11
 
7.1%
a 9
 
5.8%
2 8
 
5.1%
r 8
 
5.1%
o 7
 
4.5%
s 6
 
3.8%
n 6
 
3.8%
% 6
 
3.8%
Other values (25) 60
38.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 156
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
21
 
13.5%
e 14
 
9.0%
0 11
 
7.1%
a 9
 
5.8%
2 8
 
5.1%
r 8
 
5.1%
o 7
 
4.5%
s 6
 
3.8%
n 6
 
3.8%
% 6
 
3.8%
Other values (25) 60
38.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 156
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
21
 
13.5%
e 14
 
9.0%
0 11
 
7.1%
a 9
 
5.8%
2 8
 
5.1%
r 8
 
5.1%
o 7
 
4.5%
s 6
 
3.8%
n 6
 
3.8%
% 6
 
3.8%
Other values (25) 60
38.5%

Did you hire new people compared to last year?
Boolean

High correlation  Missing 

Distinct2
Distinct (%)11.8%
Missing1
Missing (%)5.6%
Memory size168.0 B
False
10 
True
(Missing)
 
1
ValueCountFrequency (%)
False 10
55.6%
True 7
38.9%
(Missing) 1
 
5.6%
2025-05-27T14:10:04.969679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct6
Distinct (%)75.0%
Missing10
Missing (%)55.6%
Memory size276.0 B
2025-05-27T14:10:04.994679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length22
Median length1
Mean length5.625
Min length1

Characters and Unicode

Total characters45
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)62.5%

Sample

1st row2
2nd row2
3rd row2
4th row2 people
5th row1
ValueCountFrequency (%)
2 4
28.6%
1 2
14.3%
people 1
 
7.1%
designer 1
 
7.1%
i 1
 
7.1%
only 1
 
7.1%
have 1
 
7.1%
one 1
 
7.1%
person 1
 
7.1%
3 1
 
7.1%
2025-05-27T14:10:05.049398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 7
15.6%
6
13.3%
2 4
8.9%
o 4
8.9%
n 4
8.9%
p 3
 
6.7%
l 2
 
4.4%
1 2
 
4.4%
s 2
 
4.4%
r 2
 
4.4%
Other values (9) 9
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 45
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 7
15.6%
6
13.3%
2 4
8.9%
o 4
8.9%
n 4
8.9%
p 3
 
6.7%
l 2
 
4.4%
1 2
 
4.4%
s 2
 
4.4%
r 2
 
4.4%
Other values (9) 9
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 45
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 7
15.6%
6
13.3%
2 4
8.9%
o 4
8.9%
n 4
8.9%
p 3
 
6.7%
l 2
 
4.4%
1 2
 
4.4%
s 2
 
4.4%
r 2
 
4.4%
Other values (9) 9
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 45
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 7
15.6%
6
13.3%
2 4
8.9%
o 4
8.9%
n 4
8.9%
p 3
 
6.7%
l 2
 
4.4%
1 2
 
4.4%
s 2
 
4.4%
r 2
 
4.4%
Other values (9) 9
20.0%
Distinct8
Distinct (%)50.0%
Missing2
Missing (%)11.1%
Memory size276.0 B
2025-05-27T14:10:05.077616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length12
Median length1
Mean length2.3125
Min length1

Characters and Unicode

Total characters37
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)37.5%

Sample

1st row3
2nd row1
3rd row10 empleados
4th row1
5th row10
ValueCountFrequency (%)
1 8
44.4%
2 3
 
16.7%
10 2
 
11.1%
3 1
 
5.6%
empleados 1
 
5.6%
personas 1
 
5.6%
5 1
 
5.6%
0 1
 
5.6%
2025-05-27T14:10:05.131231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10
27.0%
2 3
 
8.1%
0 3
 
8.1%
e 3
 
8.1%
s 3
 
8.1%
2
 
5.4%
p 2
 
5.4%
a 2
 
5.4%
o 2
 
5.4%
3 1
 
2.7%
Other values (6) 6
16.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 37
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 10
27.0%
2 3
 
8.1%
0 3
 
8.1%
e 3
 
8.1%
s 3
 
8.1%
2
 
5.4%
p 2
 
5.4%
a 2
 
5.4%
o 2
 
5.4%
3 1
 
2.7%
Other values (6) 6
16.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 37
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 10
27.0%
2 3
 
8.1%
0 3
 
8.1%
e 3
 
8.1%
s 3
 
8.1%
2
 
5.4%
p 2
 
5.4%
a 2
 
5.4%
o 2
 
5.4%
3 1
 
2.7%
Other values (6) 6
16.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 37
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 10
27.0%
2 3
 
8.1%
0 3
 
8.1%
e 3
 
8.1%
s 3
 
8.1%
2
 
5.4%
p 2
 
5.4%
a 2
 
5.4%
o 2
 
5.4%
3 1
 
2.7%
Other values (6) 6
16.2%
Distinct6
Distinct (%)42.9%
Missing4
Missing (%)22.2%
Memory size276.0 B
0
1
4
Varia
1 empleado

Length

Max length10
Median length1
Mean length1.9285714
Min length1

Characters and Unicode

Total characters27
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)21.4%

Sample

1st rowVaria
2nd row0
3rd row1 empleado
4th row4
5th row1

Common Values

ValueCountFrequency (%)
0 5
27.8%
1 4
22.2%
4 2
 
11.1%
Varia 1
 
5.6%
1 empleado 1
 
5.6%
8 1
 
5.6%
(Missing) 4
22.2%

Length

2025-05-27T14:10:05.159119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.179034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 5
33.3%
1 5
33.3%
4 2
 
13.3%
varia 1
 
6.7%
empleado 1
 
6.7%
8 1
 
6.7%

Most occurring characters

ValueCountFrequency (%)
0 5
18.5%
1 5
18.5%
a 3
11.1%
4 2
 
7.4%
e 2
 
7.4%
V 1
 
3.7%
r 1
 
3.7%
i 1
 
3.7%
1
 
3.7%
m 1
 
3.7%
Other values (5) 5
18.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 5
18.5%
1 5
18.5%
a 3
11.1%
4 2
 
7.4%
e 2
 
7.4%
V 1
 
3.7%
r 1
 
3.7%
i 1
 
3.7%
1
 
3.7%
m 1
 
3.7%
Other values (5) 5
18.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 5
18.5%
1 5
18.5%
a 3
11.1%
4 2
 
7.4%
e 2
 
7.4%
V 1
 
3.7%
r 1
 
3.7%
i 1
 
3.7%
1
 
3.7%
m 1
 
3.7%
Other values (5) 5
18.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 5
18.5%
1 5
18.5%
a 3
11.1%
4 2
 
7.4%
e 2
 
7.4%
V 1
 
3.7%
r 1
 
3.7%
i 1
 
3.7%
1
 
3.7%
m 1
 
3.7%
Other values (5) 5
18.5%
Distinct7
Distinct (%)46.7%
Missing3
Missing (%)16.7%
Memory size276.0 B
No
10,000
0
if I still don't have it complete
no
Other values (2)

Length

Max length75
Median length2
Mean length9.2666667
Min length1

Characters and Unicode

Total characters139
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)40.0%

Sample

1st rowNo
2nd row10,000
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No 9
50.0%
10,000 1
 
5.6%
0 1
 
5.6%
if I still don't have it complete 1
 
5.6%
no 1
 
5.6%
1000 1
 
5.6%
No. I invested everything with the money from my business and my other job. 1
 
5.6%
(Missing) 3
 
16.7%

Length

2025-05-27T14:10:05.208975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.231293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
no 11
32.4%
i 2
 
5.9%
my 2
 
5.9%
everything 1
 
2.9%
other 1
 
2.9%
and 1
 
2.9%
business 1
 
2.9%
from 1
 
2.9%
money 1
 
2.9%
the 1
 
2.9%
Other values (12) 12
35.3%

Most occurring characters

ValueCountFrequency (%)
19
13.7%
o 17
12.2%
e 11
 
7.9%
N 10
 
7.2%
t 9
 
6.5%
0 8
 
5.8%
i 7
 
5.0%
n 7
 
5.0%
m 5
 
3.6%
h 5
 
3.6%
Other values (20) 41
29.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 139
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
19
13.7%
o 17
12.2%
e 11
 
7.9%
N 10
 
7.2%
t 9
 
6.5%
0 8
 
5.8%
i 7
 
5.0%
n 7
 
5.0%
m 5
 
3.6%
h 5
 
3.6%
Other values (20) 41
29.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 139
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
19
13.7%
o 17
12.2%
e 11
 
7.9%
N 10
 
7.2%
t 9
 
6.5%
0 8
 
5.8%
i 7
 
5.0%
n 7
 
5.0%
m 5
 
3.6%
h 5
 
3.6%
Other values (20) 41
29.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 139
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
19
13.7%
o 17
12.2%
e 11
 
7.9%
N 10
 
7.2%
t 9
 
6.5%
0 8
 
5.8%
i 7
 
5.0%
n 7
 
5.0%
m 5
 
3.6%
h 5
 
3.6%
Other values (20) 41
29.5%
Distinct2
Distinct (%)11.8%
Missing1
Missing (%)5.6%
Memory size168.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 9
50.0%
False 8
44.4%
(Missing) 1
 
5.6%
2025-05-27T14:10:05.253022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct4
Distinct (%)26.7%
Missing3
Missing (%)16.7%
Memory size276.0 B
Another
Buy directly from a cooperative owned by producers or a community group that are the main suppliers of inputs for your business (for example, farmers or artisan cooperatives).
Support primary producers with subsidized inputs and training with the aim of eventually buying their products or finding a market for them.
Regularly purchase from informal individuals who provide services/products for your business (e.g. artisans, delivery persons, etc.).

Length

Max length175
Median length7
Mean length66.733333
Min length7

Characters and Unicode

Total characters1001
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)6.7%

Sample

1st rowAnother
2nd rowAnother
3rd rowBuy directly from a cooperative owned by producers or a community group that are the main suppliers of inputs for your business (for example, farmers or artisan cooperatives).
4th rowAnother
5th rowBuy directly from a cooperative owned by producers or a community group that are the main suppliers of inputs for your business (for example, farmers or artisan cooperatives).

Common Values

ValueCountFrequency (%)
Another 9
50.0%
Buy directly from a cooperative owned by producers or a community group that are the main suppliers of inputs for your business (for example, farmers or artisan cooperatives). 3
 
16.7%
Support primary producers with subsidized inputs and training with the aim of eventually buying their products or finding a market for them. 2
 
11.1%
Regularly purchase from informal individuals who provide services/products for your business (e.g. artisans, delivery persons, etc.). 1
 
5.6%
(Missing) 3
 
16.7%

Length

2025-05-27T14:10:05.275379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.296683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
another 9
 
5.9%
for 9
 
5.9%
a 8
 
5.2%
or 8
 
5.2%
of 5
 
3.3%
the 5
 
3.3%
producers 5
 
3.3%
inputs 5
 
3.3%
business 4
 
2.6%
your 4
 
2.6%
Other values (42) 91
59.5%

Most occurring characters

ValueCountFrequency (%)
138
13.8%
r 94
 
9.4%
e 78
 
7.8%
o 74
 
7.4%
i 62
 
6.2%
t 61
 
6.1%
a 53
 
5.3%
s 52
 
5.2%
n 48
 
4.8%
u 44
 
4.4%
Other values (24) 297
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1001
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
138
13.8%
r 94
 
9.4%
e 78
 
7.8%
o 74
 
7.4%
i 62
 
6.2%
t 61
 
6.1%
a 53
 
5.3%
s 52
 
5.2%
n 48
 
4.8%
u 44
 
4.4%
Other values (24) 297
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1001
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
138
13.8%
r 94
 
9.4%
e 78
 
7.8%
o 74
 
7.4%
i 62
 
6.2%
t 61
 
6.1%
a 53
 
5.3%
s 52
 
5.2%
n 48
 
4.8%
u 44
 
4.4%
Other values (24) 297
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1001
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
138
13.8%
r 94
 
9.4%
e 78
 
7.8%
o 74
 
7.4%
i 62
 
6.2%
t 61
 
6.1%
a 53
 
5.3%
s 52
 
5.2%
n 48
 
4.8%
u 44
 
4.4%
Other values (24) 297
29.7%
Distinct8
Distinct (%)100.0%
Missing10
Missing (%)55.6%
Memory size276.0 B
2025-05-27T14:10:05.383101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length225
Median length53
Mean length79
Min length42

Characters and Unicode

Total characters632
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowThey are beauty, cleaning, and personal hygiene products
2nd rowWe provide quality tortillas and food to our community
3rd rowIn the sale of tortillas and quality food.
4th rowThe previous question does not apply to me.
5th rowAll the raw material comes from local businesses
ValueCountFrequency (%)
the 11
 
9.8%
and 5
 
4.5%
to 4
 
3.6%
of 4
 
3.6%
in 4
 
3.6%
are 3
 
2.7%
tortillas 2
 
1.8%
i 2
 
1.8%
food 2
 
1.8%
quality 2
 
1.8%
Other values (65) 73
65.2%
2025-05-27T14:10:05.488774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
16.5%
e 64
 
10.1%
t 49
 
7.8%
o 40
 
6.3%
a 39
 
6.2%
i 39
 
6.2%
s 33
 
5.2%
n 32
 
5.1%
r 31
 
4.9%
l 29
 
4.6%
Other values (21) 172
27.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 632
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
104
16.5%
e 64
 
10.1%
t 49
 
7.8%
o 40
 
6.3%
a 39
 
6.2%
i 39
 
6.2%
s 33
 
5.2%
n 32
 
5.1%
r 31
 
4.9%
l 29
 
4.6%
Other values (21) 172
27.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 632
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
104
16.5%
e 64
 
10.1%
t 49
 
7.8%
o 40
 
6.3%
a 39
 
6.2%
i 39
 
6.2%
s 33
 
5.2%
n 32
 
5.1%
r 31
 
4.9%
l 29
 
4.6%
Other values (21) 172
27.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 632
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
104
16.5%
e 64
 
10.1%
t 49
 
7.8%
o 40
 
6.3%
a 39
 
6.2%
i 39
 
6.2%
s 33
 
5.2%
n 32
 
5.1%
r 31
 
4.9%
l 29
 
4.6%
Other values (21) 172
27.2%
Distinct2
Distinct (%)18.2%
Missing7
Missing (%)38.9%
Memory size276.0 B
1-10
10 
101-1000
 
1

Length

Max length8
Median length4
Mean length4.3636364
Min length4

Characters and Unicode

Total characters48
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)9.1%

Sample

1st row1-10
2nd row1-10
3rd row101-1000
4th row1-10
5th row1-10

Common Values

ValueCountFrequency (%)
1-10 10
55.6%
101-1000 1
 
5.6%
(Missing) 7
38.9%

Length

2025-05-27T14:10:05.520746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.538281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1-10 10
90.9%
101-1000 1
 
9.1%

Most occurring characters

ValueCountFrequency (%)
1 23
47.9%
0 14
29.2%
- 11
22.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 23
47.9%
0 14
29.2%
- 11
22.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 23
47.9%
0 14
29.2%
- 11
22.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 23
47.9%
0 14
29.2%
- 11
22.9%

If you answered More than 1000, calculate the exact number.
Unsupported

Missing  Rejected  Unsupported 

Missing18
Missing (%)100.0%
Memory size276.0 B
Distinct3
Distinct (%)21.4%
Missing4
Missing (%)22.2%
Memory size276.0 B
I am eager to learn more about this.
I understand and apply environmental principles.
I am familiar with environmental technical terms such as circular economy, carbon footprint, responsible waste management, green financing, etc.

Length

Max length144
Median length36
Mean length61.714286
Min length36

Characters and Unicode

Total characters864
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI am eager to learn more about this.
2nd rowI understand and apply environmental principles.
3rd rowI understand and apply environmental principles.
4th rowI am eager to learn more about this.
5th rowI am eager to learn more about this.

Common Values

ValueCountFrequency (%)
I am eager to learn more about this. 8
44.4%
I understand and apply environmental principles. 3
 
16.7%
I am familiar with environmental technical terms such as circular economy, carbon footprint, responsible waste management, green financing, etc. 3
 
16.7%
(Missing) 4
22.2%

Length

2025-05-27T14:10:05.559364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.579528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
i 14
 
10.1%
am 11
 
7.9%
eager 8
 
5.8%
to 8
 
5.8%
learn 8
 
5.8%
more 8
 
5.8%
about 8
 
5.8%
this 8
 
5.8%
environmental 6
 
4.3%
responsible 3
 
2.2%
Other values (19) 57
41.0%

Most occurring characters

ValueCountFrequency (%)
125
14.5%
e 83
 
9.6%
a 80
 
9.3%
n 71
 
8.2%
r 60
 
6.9%
t 57
 
6.6%
o 48
 
5.6%
i 47
 
5.4%
m 40
 
4.6%
l 32
 
3.7%
Other values (15) 221
25.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 864
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
125
14.5%
e 83
 
9.6%
a 80
 
9.3%
n 71
 
8.2%
r 60
 
6.9%
t 57
 
6.6%
o 48
 
5.6%
i 47
 
5.4%
m 40
 
4.6%
l 32
 
3.7%
Other values (15) 221
25.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 864
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
125
14.5%
e 83
 
9.6%
a 80
 
9.3%
n 71
 
8.2%
r 60
 
6.9%
t 57
 
6.6%
o 48
 
5.6%
i 47
 
5.4%
m 40
 
4.6%
l 32
 
3.7%
Other values (15) 221
25.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 864
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
125
14.5%
e 83
 
9.6%
a 80
 
9.3%
n 71
 
8.2%
r 60
 
6.9%
t 57
 
6.6%
o 48
 
5.6%
i 47
 
5.4%
m 40
 
4.6%
l 32
 
3.7%
Other values (15) 221
25.6%
Distinct8
Distinct (%)66.7%
Missing6
Missing (%)33.3%
Memory size276.0 B
2025-05-27T14:10:05.637162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length93
Median length55.5
Mean length36.25
Min length7

Characters and Unicode

Total characters435
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)50.0%

Sample

1st rowAnother
2nd rowPreserve water, Renewable energies or Energy efficiency
3rd rowAnother
4th rowPreserve water, Renewable energies or Energy efficiency
5th rowAnother
ValueCountFrequency (%)
or 5
 
9.3%
another 4
 
7.4%
water 4
 
7.4%
renewable 4
 
7.4%
energies 4
 
7.4%
energy 4
 
7.4%
efficiency 4
 
7.4%
circularity 3
 
5.6%
recycle 3
 
5.6%
reuse 3
 
5.6%
Other values (11) 16
29.6%
2025-05-27T14:10:05.716749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 79
18.2%
r 43
 
9.9%
42
 
9.7%
n 30
 
6.9%
a 23
 
5.3%
i 23
 
5.3%
c 21
 
4.8%
s 17
 
3.9%
t 16
 
3.7%
y 14
 
3.2%
Other values (22) 127
29.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 435
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 79
18.2%
r 43
 
9.9%
42
 
9.7%
n 30
 
6.9%
a 23
 
5.3%
i 23
 
5.3%
c 21
 
4.8%
s 17
 
3.9%
t 16
 
3.7%
y 14
 
3.2%
Other values (22) 127
29.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 435
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 79
18.2%
r 43
 
9.9%
42
 
9.7%
n 30
 
6.9%
a 23
 
5.3%
i 23
 
5.3%
c 21
 
4.8%
s 17
 
3.9%
t 16
 
3.7%
y 14
 
3.2%
Other values (22) 127
29.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 435
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 79
18.2%
r 43
 
9.9%
42
 
9.7%
n 30
 
6.9%
a 23
 
5.3%
i 23
 
5.3%
c 21
 
4.8%
s 17
 
3.9%
t 16
 
3.7%
y 14
 
3.2%
Other values (22) 127
29.2%
Distinct3
Distinct (%)17.6%
Missing1
Missing (%)5.6%
Memory size276.0 B
Agreed
I totally agree
Neutral

Length

Max length15
Median length6
Mean length9.2941176
Min length6

Characters and Unicode

Total characters158
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowAgreed
3rd rowAgreed
4th rowAgreed
5th rowI totally agree

Common Values

ValueCountFrequency (%)
Agreed 9
50.0%
I totally agree 6
33.3%
Neutral 2
 
11.1%
(Missing) 1
 
5.6%

Length

2025-05-27T14:10:05.745944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.762725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
agreed 9
31.0%
i 6
20.7%
totally 6
20.7%
agree 6
20.7%
neutral 2
 
6.9%

Most occurring characters

ValueCountFrequency (%)
e 32
20.3%
r 17
10.8%
g 15
9.5%
t 14
8.9%
a 14
8.9%
l 14
8.9%
12
 
7.6%
A 9
 
5.7%
d 9
 
5.7%
I 6
 
3.8%
Other values (4) 16
10.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 158
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 32
20.3%
r 17
10.8%
g 15
9.5%
t 14
8.9%
a 14
8.9%
l 14
8.9%
12
 
7.6%
A 9
 
5.7%
d 9
 
5.7%
I 6
 
3.8%
Other values (4) 16
10.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 158
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 32
20.3%
r 17
10.8%
g 15
9.5%
t 14
8.9%
a 14
8.9%
l 14
8.9%
12
 
7.6%
A 9
 
5.7%
d 9
 
5.7%
I 6
 
3.8%
Other values (4) 16
10.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 158
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 32
20.3%
r 17
10.8%
g 15
9.5%
t 14
8.9%
a 14
8.9%
l 14
8.9%
12
 
7.6%
A 9
 
5.7%
d 9
 
5.7%
I 6
 
3.8%
Other values (4) 16
10.1%
Distinct5
Distinct (%)29.4%
Missing1
Missing (%)5.6%
Memory size276.0 B
Neutral
I totally agree
Agreed
Disagree
Completely disagree

Length

Max length19
Median length7
Mean length9.1176471
Min length6

Characters and Unicode

Total characters155
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)5.9%

Sample

1st rowNeutral
2nd rowAgreed
3rd rowDisagree
4th rowNeutral
5th rowNeutral

Common Values

ValueCountFrequency (%)
Neutral 9
50.0%
I totally agree 3
 
16.7%
Agreed 2
 
11.1%
Disagree 2
 
11.1%
Completely disagree 1
 
5.6%
(Missing) 1
 
5.6%

Length

2025-05-27T14:10:05.788218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.808848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
neutral 9
37.5%
i 3
 
12.5%
totally 3
 
12.5%
agree 3
 
12.5%
disagree 3
 
12.5%
agreed 2
 
8.3%
completely 1
 
4.2%

Most occurring characters

ValueCountFrequency (%)
e 27
17.4%
a 18
11.6%
r 17
11.0%
l 17
11.0%
t 16
10.3%
N 9
 
5.8%
u 9
 
5.8%
g 8
 
5.2%
7
 
4.5%
y 4
 
2.6%
Other values (10) 23
14.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 155
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 27
17.4%
a 18
11.6%
r 17
11.0%
l 17
11.0%
t 16
10.3%
N 9
 
5.8%
u 9
 
5.8%
g 8
 
5.2%
7
 
4.5%
y 4
 
2.6%
Other values (10) 23
14.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 155
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 27
17.4%
a 18
11.6%
r 17
11.0%
l 17
11.0%
t 16
10.3%
N 9
 
5.8%
u 9
 
5.8%
g 8
 
5.2%
7
 
4.5%
y 4
 
2.6%
Other values (10) 23
14.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 155
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 27
17.4%
a 18
11.6%
r 17
11.0%
l 17
11.0%
t 16
10.3%
N 9
 
5.8%
u 9
 
5.8%
g 8
 
5.2%
7
 
4.5%
y 4
 
2.6%
Other values (10) 23
14.8%
Distinct3
Distinct (%)17.6%
Missing1
Missing (%)5.6%
Memory size276.0 B
I never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.
12 
I never accept bribes and this was something I learned during CMF Marketplace Mexico - Sinapis.
It depends on the situation.
 
1

Length

Max length97
Median length97
Mean length92.470588
Min length28

Characters and Unicode

Total characters1572
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)5.9%

Sample

1st rowI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.
2nd rowI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.
3rd rowI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.
4th rowI never accept bribes and this was something I learned during CMF Marketplace Mexico - Sinapis.
5th rowI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.

Common Values

ValueCountFrequency (%)
I never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis. 12
66.7%
I never accept bribes and this was something I learned during CMF Marketplace Mexico - Sinapis. 4
 
22.2%
It depends on the situation. 1
 
5.6%
(Missing) 1
 
5.6%

Length

2025-05-27T14:10:05.839086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.859776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
i 32
 
11.7%
something 16
 
5.9%
sinapis 16
 
5.9%
16
 
5.9%
mexico 16
 
5.9%
marketplace 16
 
5.9%
never 16
 
5.9%
cmf 16
 
5.9%
was 16
 
5.9%
this 16
 
5.9%
Other values (13) 97
35.5%

Most occurring characters

ValueCountFrequency (%)
256
16.3%
e 187
 
11.9%
i 114
 
7.3%
a 101
 
6.4%
n 87
 
5.5%
s 82
 
5.2%
r 68
 
4.3%
t 68
 
4.3%
c 64
 
4.1%
d 50
 
3.2%
Other values (21) 495
31.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1572
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
256
16.3%
e 187
 
11.9%
i 114
 
7.3%
a 101
 
6.4%
n 87
 
5.5%
s 82
 
5.2%
r 68
 
4.3%
t 68
 
4.3%
c 64
 
4.1%
d 50
 
3.2%
Other values (21) 495
31.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1572
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
256
16.3%
e 187
 
11.9%
i 114
 
7.3%
a 101
 
6.4%
n 87
 
5.5%
s 82
 
5.2%
r 68
 
4.3%
t 68
 
4.3%
c 64
 
4.1%
d 50
 
3.2%
Other values (21) 495
31.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1572
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
256
16.3%
e 187
 
11.9%
i 114
 
7.3%
a 101
 
6.4%
n 87
 
5.5%
s 82
 
5.2%
r 68
 
4.3%
t 68
 
4.3%
c 64
 
4.1%
d 50
 
3.2%
Other values (21) 495
31.5%
Distinct2
Distinct (%)11.8%
Missing1
Missing (%)5.6%
Memory size168.0 B
False
15 
True
(Missing)
 
1
ValueCountFrequency (%)
False 15
83.3%
True 2
 
11.1%
(Missing) 1
 
5.6%
2025-05-27T14:10:05.880904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)11.8%
Missing1
Missing (%)5.6%
Memory size276.0 B
Always/Every time
10 
Never

Length

Max length17
Median length17
Mean length12.058824
Min length5

Characters and Unicode

Total characters205
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAlways/Every time
2nd rowAlways/Every time
3rd rowAlways/Every time
4th rowNever
5th rowAlways/Every time

Common Values

ValueCountFrequency (%)
Always/Every time 10
55.6%
Never 7
38.9%
(Missing) 1
 
5.6%

Length

2025-05-27T14:10:05.902905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:05.970503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
always/every 10
37.0%
time 10
37.0%
never 7
25.9%

Most occurring characters

ValueCountFrequency (%)
e 34
16.6%
y 20
 
9.8%
v 17
 
8.3%
r 17
 
8.3%
A 10
 
4.9%
l 10
 
4.9%
w 10
 
4.9%
a 10
 
4.9%
s 10
 
4.9%
/ 10
 
4.9%
Other values (6) 57
27.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 205
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 34
16.6%
y 20
 
9.8%
v 17
 
8.3%
r 17
 
8.3%
A 10
 
4.9%
l 10
 
4.9%
w 10
 
4.9%
a 10
 
4.9%
s 10
 
4.9%
/ 10
 
4.9%
Other values (6) 57
27.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 205
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 34
16.6%
y 20
 
9.8%
v 17
 
8.3%
r 17
 
8.3%
A 10
 
4.9%
l 10
 
4.9%
w 10
 
4.9%
a 10
 
4.9%
s 10
 
4.9%
/ 10
 
4.9%
Other values (6) 57
27.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 205
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 34
16.6%
y 20
 
9.8%
v 17
 
8.3%
r 17
 
8.3%
A 10
 
4.9%
l 10
 
4.9%
w 10
 
4.9%
a 10
 
4.9%
s 10
 
4.9%
/ 10
 
4.9%
Other values (6) 57
27.8%
Distinct12
Distinct (%)100.0%
Missing6
Missing (%)33.3%
Memory size276.0 B
2025-05-27T14:10:06.053759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length242
Median length58
Mean length74.166667
Min length2

Characters and Unicode

Total characters890
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st rowNo, I have no comments
2nd rowIt helped me to have peace and love for my work, allowing me to understand that this business is also a means to share faith with our clients and employees...
3rd rowI like that they follow up with former students.
4th rowThey are always willing to advise me on required topics, offer me further training, pray for me and the business.
5th rowAll good
ValueCountFrequency (%)
the 9
 
5.4%
i 8
 
4.8%
me 7
 
4.2%
to 7
 
4.2%
and 7
 
4.2%
they 4
 
2.4%
my 4
 
2.4%
have 4
 
2.4%
of 4
 
2.4%
for 4
 
2.4%
Other values (94) 110
65.5%
2025-05-27T14:10:06.174256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
17.5%
e 99
 
11.1%
t 60
 
6.7%
o 56
 
6.3%
a 48
 
5.4%
n 46
 
5.2%
s 43
 
4.8%
i 39
 
4.4%
r 36
 
4.0%
h 36
 
4.0%
Other values (31) 271
30.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 890
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
156
17.5%
e 99
 
11.1%
t 60
 
6.7%
o 56
 
6.3%
a 48
 
5.4%
n 46
 
5.2%
s 43
 
4.8%
i 39
 
4.4%
r 36
 
4.0%
h 36
 
4.0%
Other values (31) 271
30.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 890
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
156
17.5%
e 99
 
11.1%
t 60
 
6.7%
o 56
 
6.3%
a 48
 
5.4%
n 46
 
5.2%
s 43
 
4.8%
i 39
 
4.4%
r 36
 
4.0%
h 36
 
4.0%
Other values (31) 271
30.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 890
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
156
17.5%
e 99
 
11.1%
t 60
 
6.7%
o 56
 
6.3%
a 48
 
5.4%
n 46
 
5.2%
s 43
 
4.8%
i 39
 
4.4%
r 36
 
4.0%
h 36
 
4.0%
Other values (31) 271
30.4%
Distinct16
Distinct (%)94.1%
Missing1
Missing (%)5.6%
Memory size276.0 B
2025-05-27T14:10:06.239823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length252
Median length92
Mean length96.235294
Min length5

Characters and Unicode

Total characters1636
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)88.2%

Sample

1st rowFinance (organization systems) and business financial planning, Implementation of Technologies (Digitalization), Marketing and Value communication, Personal/family financial planning, Sales
2nd rowImplementation of Technologies (Digitization)
3rd rowBalance between work and personal life as an entrepreneur, Finance (organization systems) and business financial planning, Implementation of Technologies (Digitalization), Taxes, Marketing and Value communication, Recruitment and selection of personnel
4th rowMarketing and Value Communication
5th rowImplementation of Technologies (Digitization), Taxes, Recruitment and Selection of Personnel
ValueCountFrequency (%)
and 21
 
10.8%
planning 11
 
5.7%
financial 11
 
5.7%
of 9
 
4.6%
business 9
 
4.6%
marketing 8
 
4.1%
communication 8
 
4.1%
value 8
 
4.1%
systems 7
 
3.6%
organization 7
 
3.6%
Other values (34) 95
49.0%
2025-05-27T14:10:06.333790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 201
12.3%
177
 
10.8%
a 160
 
9.8%
i 141
 
8.6%
e 135
 
8.3%
s 86
 
5.3%
o 86
 
5.3%
t 78
 
4.8%
l 77
 
4.7%
c 47
 
2.9%
Other values (32) 448
27.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1636
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 201
12.3%
177
 
10.8%
a 160
 
9.8%
i 141
 
8.6%
e 135
 
8.3%
s 86
 
5.3%
o 86
 
5.3%
t 78
 
4.8%
l 77
 
4.7%
c 47
 
2.9%
Other values (32) 448
27.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1636
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 201
12.3%
177
 
10.8%
a 160
 
9.8%
i 141
 
8.6%
e 135
 
8.3%
s 86
 
5.3%
o 86
 
5.3%
t 78
 
4.8%
l 77
 
4.7%
c 47
 
2.9%
Other values (32) 448
27.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1636
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 201
12.3%
177
 
10.8%
a 160
 
9.8%
i 141
 
8.6%
e 135
 
8.3%
s 86
 
5.3%
o 86
 
5.3%
t 78
 
4.8%
l 77
 
4.7%
c 47
 
2.9%
Other values (32) 448
27.4%

Please write your full name.
Unsupported

Missing  Rejected  Unsupported 

Missing18
Missing (%)100.0%
Memory size276.0 B

Please share the best phone number to contact you.
Unsupported

Missing  Rejected  Unsupported 

Missing18
Missing (%)100.0%
Memory size276.0 B
Distinct3
Distinct (%)21.4%
Missing4
Missing (%)22.2%
Memory size276.0 B
1-5
More than 5
0

Length

Max length11
Median length3
Mean length5.4285714
Min length1

Characters and Unicode

Total characters76
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd rowMore than 5
3rd rowMore than 5
4th rowMore than 5
5th row0

Common Values

ValueCountFrequency (%)
1-5 6
33.3%
More than 5 5
27.8%
0 3
16.7%
(Missing) 4
22.2%

Length

2025-05-27T14:10:06.362670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:06.379258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1-5 6
25.0%
more 5
20.8%
than 5
20.8%
5 5
20.8%
0 3
12.5%

Most occurring characters

ValueCountFrequency (%)
5 11
14.5%
10
13.2%
1 6
7.9%
- 6
7.9%
M 5
 
6.6%
o 5
 
6.6%
r 5
 
6.6%
e 5
 
6.6%
t 5
 
6.6%
h 5
 
6.6%
Other values (3) 13
17.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 11
14.5%
10
13.2%
1 6
7.9%
- 6
7.9%
M 5
 
6.6%
o 5
 
6.6%
r 5
 
6.6%
e 5
 
6.6%
t 5
 
6.6%
h 5
 
6.6%
Other values (3) 13
17.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 11
14.5%
10
13.2%
1 6
7.9%
- 6
7.9%
M 5
 
6.6%
o 5
 
6.6%
r 5
 
6.6%
e 5
 
6.6%
t 5
 
6.6%
h 5
 
6.6%
Other values (3) 13
17.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 11
14.5%
10
13.2%
1 6
7.9%
- 6
7.9%
M 5
 
6.6%
o 5
 
6.6%
r 5
 
6.6%
e 5
 
6.6%
t 5
 
6.6%
h 5
 
6.6%
Other values (3) 13
17.1%
Distinct3
Distinct (%)30.0%
Missing8
Missing (%)44.4%
Memory size276.0 B
1-5
0
More than 5

Length

Max length11
Median length3
Mean length4.8
Min length1

Characters and Unicode

Total characters48
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd rowMore than 5
3rd rowMore than 5
4th rowMore than 5
5th row1-5

Common Values

ValueCountFrequency (%)
1-5 4
22.2%
0 3
 
16.7%
More than 5 3
 
16.7%
(Missing) 8
44.4%

Length

2025-05-27T14:10:06.402788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:06.421234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1-5 4
25.0%
0 3
18.8%
more 3
18.8%
than 3
18.8%
5 3
18.8%

Most occurring characters

ValueCountFrequency (%)
5 7
14.6%
6
12.5%
1 4
8.3%
- 4
8.3%
0 3
 
6.2%
M 3
 
6.2%
o 3
 
6.2%
r 3
 
6.2%
e 3
 
6.2%
t 3
 
6.2%
Other values (3) 9
18.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 7
14.6%
6
12.5%
1 4
8.3%
- 4
8.3%
0 3
 
6.2%
M 3
 
6.2%
o 3
 
6.2%
r 3
 
6.2%
e 3
 
6.2%
t 3
 
6.2%
Other values (3) 9
18.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 7
14.6%
6
12.5%
1 4
8.3%
- 4
8.3%
0 3
 
6.2%
M 3
 
6.2%
o 3
 
6.2%
r 3
 
6.2%
e 3
 
6.2%
t 3
 
6.2%
Other values (3) 9
18.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 7
14.6%
6
12.5%
1 4
8.3%
- 4
8.3%
0 3
 
6.2%
M 3
 
6.2%
o 3
 
6.2%
r 3
 
6.2%
e 3
 
6.2%
t 3
 
6.2%
Other values (3) 9
18.8%

Prayer request and/or prayed with you or with a colleague
Categorical

High correlation  Missing 

Distinct3
Distinct (%)25.0%
Missing6
Missing (%)33.3%
Memory size276.0 B
1-5
0
More than 5

Length

Max length11
Median length3
Mean length3.8333333
Min length1

Characters and Unicode

Total characters46
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1-5
3rd rowMore than 5
4th rowMore than 5
5th row1-5

Common Values

ValueCountFrequency (%)
1-5 7
38.9%
0 3
16.7%
More than 5 2
 
11.1%
(Missing) 6
33.3%

Length

2025-05-27T14:10:06.443191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:06.459784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1-5 7
43.8%
0 3
18.8%
more 2
 
12.5%
than 2
 
12.5%
5 2
 
12.5%

Most occurring characters

ValueCountFrequency (%)
5 9
19.6%
1 7
15.2%
- 7
15.2%
4
8.7%
0 3
 
6.5%
M 2
 
4.3%
o 2
 
4.3%
r 2
 
4.3%
e 2
 
4.3%
t 2
 
4.3%
Other values (3) 6
13.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 46
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 9
19.6%
1 7
15.2%
- 7
15.2%
4
8.7%
0 3
 
6.5%
M 2
 
4.3%
o 2
 
4.3%
r 2
 
4.3%
e 2
 
4.3%
t 2
 
4.3%
Other values (3) 6
13.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 46
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 9
19.6%
1 7
15.2%
- 7
15.2%
4
8.7%
0 3
 
6.5%
M 2
 
4.3%
o 2
 
4.3%
r 2
 
4.3%
e 2
 
4.3%
t 2
 
4.3%
Other values (3) 6
13.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 46
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 9
19.6%
1 7
15.2%
- 7
15.2%
4
8.7%
0 3
 
6.5%
M 2
 
4.3%
o 2
 
4.3%
r 2
 
4.3%
e 2
 
4.3%
t 2
 
4.3%
Other values (3) 6
13.0%

Become believers in Jesus Christ
Categorical

High correlation  Missing 

Distinct3
Distinct (%)37.5%
Missing10
Missing (%)55.6%
Memory size276.0 B
0
1-5
More than 5

Length

Max length11
Median length3
Mean length4.25
Min length1

Characters and Unicode

Total characters34
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd rowMore than 5
3rd rowMore than 5
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3
 
16.7%
1-5 3
 
16.7%
More than 5 2
 
11.1%
(Missing) 10
55.6%

Length

2025-05-27T14:10:06.483451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:06.500494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 3
25.0%
1-5 3
25.0%
more 2
16.7%
than 2
16.7%
5 2
16.7%

Most occurring characters

ValueCountFrequency (%)
5 5
14.7%
4
11.8%
0 3
8.8%
1 3
8.8%
- 3
8.8%
M 2
 
5.9%
o 2
 
5.9%
r 2
 
5.9%
e 2
 
5.9%
t 2
 
5.9%
Other values (3) 6
17.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 5
14.7%
4
11.8%
0 3
8.8%
1 3
8.8%
- 3
8.8%
M 2
 
5.9%
o 2
 
5.9%
r 2
 
5.9%
e 2
 
5.9%
t 2
 
5.9%
Other values (3) 6
17.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 5
14.7%
4
11.8%
0 3
8.8%
1 3
8.8%
- 3
8.8%
M 2
 
5.9%
o 2
 
5.9%
r 2
 
5.9%
e 2
 
5.9%
t 2
 
5.9%
Other values (3) 6
17.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 5
14.7%
4
11.8%
0 3
8.8%
1 3
8.8%
- 3
8.8%
M 2
 
5.9%
o 2
 
5.9%
r 2
 
5.9%
e 2
 
5.9%
t 2
 
5.9%
Other values (3) 6
17.6%
Distinct3
Distinct (%)37.5%
Missing10
Missing (%)55.6%
Memory size276.0 B
0
More than 5
1-5

Length

Max length11
Median length3
Mean length5.25
Min length1

Characters and Unicode

Total characters42
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd rowMore than 5
3rd rowMore than 5
4th rowMore than 5
5th row0

Common Values

ValueCountFrequency (%)
0 3
 
16.7%
More than 5 3
 
16.7%
1-5 2
 
11.1%
(Missing) 10
55.6%

Length

2025-05-27T14:10:06.523305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-27T14:10:06.540445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 3
21.4%
more 3
21.4%
than 3
21.4%
5 3
21.4%
1-5 2
14.3%

Most occurring characters

ValueCountFrequency (%)
6
14.3%
5 5
11.9%
0 3
7.1%
M 3
7.1%
o 3
7.1%
r 3
7.1%
e 3
7.1%
t 3
7.1%
h 3
7.1%
a 3
7.1%
Other values (3) 7
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6
14.3%
5 5
11.9%
0 3
7.1%
M 3
7.1%
o 3
7.1%
r 3
7.1%
e 3
7.1%
t 3
7.1%
h 3
7.1%
a 3
7.1%
Other values (3) 7
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6
14.3%
5 5
11.9%
0 3
7.1%
M 3
7.1%
o 3
7.1%
r 3
7.1%
e 3
7.1%
t 3
7.1%
h 3
7.1%
a 3
7.1%
Other values (3) 7
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6
14.3%
5 5
11.9%
0 3
7.1%
M 3
7.1%
o 3
7.1%
r 3
7.1%
e 3
7.1%
t 3
7.1%
h 3
7.1%
a 3
7.1%
Other values (3) 7
16.7%

Correlations

2025-05-27T14:10:06.566953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Become believers in Jesus ChristCalculate how many of these people experience a better quality of life by working directly or indirectly to benefit the stakeholders of the community indicated in the previous answers (be as precise as possible!)Developed a deeper relationship with Jesus and other believersDid you found or co-found the business?Did you hire new people compared to last year?Did you raise external investments for your business in the past through family, friends, financial institutions, or other sources of investment capital? If so, how much? Calculate the exact accumulated investment (in local currency). DO NOT include your own savings (an estimate is fine).Do you currently have a business operating?Does the previous number represent an increase or a decrease in your business income compared to the previous year?Does your company work directly or indirectly with your community and/or your supply chains?How does it feel to pay or accept a bribe?How many PART-TIME paid employees (including casual workers) do you currently have? (an estimate is fine).How many times did you refuse to pay or accept a bribe as a direct result of your experience with CMF Marketplace Mexico - Sinapis?How would you classify the current stage of your business?In which of the following ways does your company work with the community/supply chain?Is your company officially registered with the SAT?Prayer request and/or prayed with you or with a colleagueReceived information about the Gospel and wanted to know moreSince completing the CMF Marketplace Mexico - Sinapis program, have you been asked to pay or accept any bribes?To what extent do you agree with the following statement? My experience with Aspire - Sinapis (during the program and post-program as an alumni) continues to have a significant impact on the results of my current business.To what extent do you agree with the statement? CMF Marketplace Mexico - Sinapis saved my business from failure.Understood what a Kingdom business is and/or been able to describe it to othersWhat is your position in the business?What is your sustainable business approach regarding environmental care?
Become believers in Jesus Christ1.0000.0000.7641.0000.2360.3541.0001.0000.9130.0000.6120.0000.5770.8060.0610.6630.5110.0000.0000.3590.0610.0000.000
Calculate how many of these people experience a better quality of life by working directly or indirectly to benefit the stakeholders of the community indicated in the previous answers (be as precise as possible!)0.0001.0000.0001.0000.0000.0000.0000.0000.0000.0000.6550.0000.2360.0000.0000.4080.0000.0000.0000.2360.0000.0000.500
Developed a deeper relationship with Jesus and other believers0.7640.0001.0001.0000.0610.0001.0000.0000.6670.4080.0000.4080.4330.5030.9130.5480.7820.0000.5480.6710.0000.2170.490
Did you found or co-found the business?1.0001.0001.0001.0000.0000.0000.0000.0000.0000.2890.0000.0000.3161.0000.0001.0001.0000.0000.0000.4830.0000.9350.373
Did you hire new people compared to last year?0.2360.0000.0610.0001.0000.0000.0000.0000.0000.0000.1380.0000.0000.0000.0000.5030.3060.0000.4470.3080.0820.0000.000
Did you raise external investments for your business in the past through family, friends, financial institutions, or other sources of investment capital? If so, how much? Calculate the exact accumulated investment (in local currency). DO NOT include your own savings (an estimate is fine).0.3540.0000.0000.0000.0001.0000.7840.1980.0000.0000.0000.0000.0630.0000.0000.0000.0000.7840.0000.5340.0000.0000.000
Do you currently have a business operating?1.0000.0001.0000.0000.0000.7841.0001.0000.0000.0000.0000.0000.6040.0000.0000.0001.0000.0000.0000.8940.0000.0000.373
Does the previous number represent an increase or a decrease in your business income compared to the previous year?1.0000.0000.0000.0000.0000.1981.0001.0000.0000.0000.7070.0000.3850.4040.0000.4590.8940.0000.5590.0000.9260.0000.000
Does your company work directly or indirectly with your community and/or your supply chains?0.9130.0000.6670.0000.0000.0000.0000.0001.0000.0000.6470.0000.4540.4980.1690.6010.4870.0000.4050.5440.0000.0560.272
How does it feel to pay or accept a bribe?0.0000.0000.4080.2890.0000.0000.0000.0000.0001.0000.0000.3950.3470.0000.0990.0000.0000.0000.0000.0000.4270.2020.000
How many PART-TIME paid employees (including casual workers) do you currently have? (an estimate is fine).0.6120.6550.0000.0000.1380.0000.0000.7070.6470.0001.0000.3800.0000.2500.1380.2070.0000.4010.3150.1770.2800.0000.198
How many times did you refuse to pay or accept a bribe as a direct result of your experience with CMF Marketplace Mexico - Sinapis?0.0000.0000.4080.0000.0000.0000.0000.0000.0000.3950.3801.0000.5020.0000.0000.0000.0000.0000.2640.0000.3980.0000.134
How would you classify the current stage of your business?0.5770.2360.4330.3160.0000.0630.6040.3850.4540.3470.0000.5021.0000.2320.6820.6510.3970.0000.0000.0530.2960.0000.000
In which of the following ways does your company work with the community/supply chain?0.8060.0000.5031.0000.0000.0000.0000.4040.4980.0000.2500.0000.2321.0000.0000.5820.4710.5420.0000.0000.1840.2100.000
Is your company officially registered with the SAT?0.0610.0000.9130.0000.0000.0000.0000.0000.1690.0990.1380.0000.6820.0001.0000.5210.6520.0000.1950.3950.4530.0000.000
Prayer request and/or prayed with you or with a colleague0.6630.4080.5481.0000.5030.0000.0000.4590.6010.0000.2070.0000.6510.5820.5211.0000.8370.0000.4170.0000.5770.0000.000
Received information about the Gospel and wanted to know more0.5110.0000.7821.0000.3060.0001.0000.8940.4870.0000.0000.0000.3970.4710.6520.8371.0000.0000.3780.3780.6650.0000.347
Since completing the CMF Marketplace Mexico - Sinapis program, have you been asked to pay or accept any bribes?0.0000.0000.0000.0000.0000.7840.0000.0000.0000.0000.4010.0000.0000.5420.0000.0000.0001.0000.0000.0000.0000.0000.000
To what extent do you agree with the following statement?\n\nMy experience with Aspire - Sinapis (during the program and post-program as an alumni) continues to have a significant impact on the results of my current business.0.0000.0000.5480.0000.4470.0000.0000.5590.4050.0000.3150.2640.0000.0000.1950.4170.3780.0001.0000.2100.0000.0000.388
To what extent do you agree with the statement?\n\nCMF Marketplace Mexico - Sinapis saved my business from failure.0.3590.2360.6710.4830.3080.5340.8940.0000.5440.0000.1770.0000.0530.0000.3950.0000.3780.0000.2101.0000.0000.4690.657
Understood what a Kingdom business is and/or been able to describe it to others0.0610.0000.0000.0000.0820.0000.0000.9260.0000.4270.2800.3980.2960.1840.4530.5770.6650.0000.0000.0001.0000.0000.000
What is your position in the business?0.0000.0000.2170.9350.0000.0000.0000.0000.0560.2020.0000.0000.0000.2100.0000.0000.0000.0000.0000.4690.0001.0000.335
What is your sustainable business approach regarding environmental care?0.0000.5000.4900.3730.0000.0000.3730.0000.2720.0000.1980.1340.0000.0000.0000.0000.3470.0000.3880.6570.0000.3351.000

Missing values

2025-05-27T14:10:03.114941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-27T14:10:03.289071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-27T14:10:03.610100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

respondentIdansweredAtDo you give your consent for us to collect your data?Do you currently have a business operating?Please provide the name of your businessDid you found or co-found the business?What is your position in the business?In which sector does your business operate?How would you classify the current stage of your business?Is your company officially registered with the SAT?During the past year, how much revenue (sales/turnover) did your company generate PER MONTH? If you have a business but have not generated any revenue yet, please write 0. Use the local currency.Does the previous number represent an increase or a decrease in your business income compared to the previous year?If you answered Increased or Decreased, can you estimate by how much it increased or decreased?Did you hire new people compared to last year?If the answer is yes, how many more people did you hire?How many full-time paid employees, including yourself, do you currently have? (an estimate is fine). If it's just you, please put 1.How many PART-TIME paid employees (including casual workers) do you currently have? (an estimate is fine).Did you raise external investments for your business in the past through family, friends, financial institutions, or other sources of investment capital? If so, how much? Calculate the exact accumulated investment (in local currency). DO NOT include your own savings (an estimate is fine).Does your company work directly or indirectly with your community and/or your supply chains?In which of the following ways does your company work with the community/supply chain?If possible, please explain in more detail how your company is related to the community/supply chain.Calculate how many of these people experience a better quality of life by working directly or indirectly to benefit the stakeholders of the community indicated in the previous answers (be as precise as possible!)If you answered More than 1000, calculate the exact number.What is your sustainable business approach regarding environmental care?What environmental sustainability practices have you incorporated into your business?To what extent do you agree with the following statement? My experience with Aspire - Sinapis (during the program and post-program as an alumni) continues to have a significant impact on the results of my current business.To what extent do you agree with the statement? CMF Marketplace Mexico - Sinapis saved my business from failure.How does it feel to pay or accept a bribe?Since completing the CMF Marketplace Mexico - Sinapis program, have you been asked to pay or accept any bribes?How many times did you refuse to pay or accept a bribe as a direct result of your experience with CMF Marketplace Mexico - Sinapis?Do you have any comments you would like to share about how your experience with CMF Marketplace Mexico - Sinapis has continued to impact you or your business?In which areas of your business are you facing the most difficulties? In which areas do you feel you need more training? (You can select more than one option).Please write your full name.Please share the best phone number to contact you.Understood what a Kingdom business is and/or been able to describe it to othersReceived information about the Gospel and wanted to know morePrayer request and/or prayed with you or with a colleagueBecome believers in Jesus ChristDeveloped a deeper relationship with Jesus and other believers
0HDDJ-14662025-04-07 20:15:40.0000000YesYesNaNYesChief Executive Officer/PresidentServices and ConsultingProblem identification: You have identified a problem, but you do not have a solution idea yet.Yes0It decreased80%NoNaN3VariaNoNoAnotherNaN1-10NaNI am eager to learn more about this.NaNNeutralNeutralI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeNaNFinance (organization systems) and business financial planning, Implementation of Technologies (Digitalization), Marketing and Value communication, Personal/family financial planning, SalesNaNNaN000NaN0
1BDFJ-29452025-04-07 20:35:07.0000000YesYesNaNYesAnotherProduct MarketingCustomer traction/early revenue: product in small markets, generating early revenue and likely making initial hires.No0.00NaNNaNNoNaN1010,000NoAnotherThey are beauty, cleaning, and personal hygiene products1-10NaNI understand and apply environmental principles.AnotherAgreedAgreedI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeNo, I have no commentsImplementation of Technologies (Digitization)NaNNaNMore than 5More than 51-50More than 5
2GEBB-21312025-04-07 20:36:26.0000000YesYesNaNYesChief Executive Officer/PresidentProduct MarketingRapid growth: observing a strong and steady customer demand, generating significant revenues and positive cash flow.No$250,000 pesos per monthIncreasedYes, around 25%.Yes210 empleados1 empleadoNoYesBuy directly from a cooperative owned by producers or a community group that are the main suppliers of inputs for your business (for example, farmers or artisan cooperatives).We provide quality tortillas and food to our community101-1000NaNI understand and apply environmental principles.Preserve water, Renewable energies or Energy efficiencyAgreedDisagreeI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeIt helped me to have peace and love for my work, allowing me to understand that this business is also a means to share faith with our clients and employees...Balance between work and personal life as an entrepreneur, Finance (organization systems) and business financial planning, Implementation of Technologies (Digitalization), Taxes, Marketing and Value communication, Recruitment and selection of personnelNaNNaNMore than 5More than 5More than 5More than 5More than 5
3IBIA-36842025-04-08 01:59:57.0000000YesYesNaNYesChief Executive Officer/PresidentServices and ConsultingCustomer traction/early revenue: product in small markets, generating early revenue and likely making initial hires.No8,000NaNNaNYes214NoNoAnotherNaN1-10NaNI am eager to learn more about this.AnotherAgreedNeutralI never accept bribes and this was something I learned during CMF Marketplace Mexico - Sinapis.NoNeverI like that they follow up with former students.Marketing and Value CommunicationNaNNaNNaNNaNNaNNaNNaN
4IGDE-72472025-04-08 06:06:26.0000000YesYesNaNYesChief Executive Officer/PresidentProduct MarketingRapid growth: observing a strong and steady customer demand, generating significant revenues and positive cash flow.No$250,000 per monthIncreased25%Yes2101NoYesBuy directly from a cooperative owned by producers or a community group that are the main suppliers of inputs for your business (for example, farmers or artisan cooperatives).In the sale of tortillas and quality food.1-10NaNI am eager to learn more about this.Preserve water, Renewable energies or Energy efficiencyI totally agreeNeutralI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeThey are always willing to advise me on required topics, offer me further training, pray for me and the business.Implementation of Technologies (Digitization), Taxes, Recruitment and Selection of PersonnelNaNNaNMore than 5More than 5More than 5More than 5More than 5
5EJHD-45692025-04-09 03:33:27.0000000YesYesNaNYesChief Executive Officer/PresidentDoctor: Healthcare, Equipment, Pharmacy.Solidifying operations: acquiring more clients, making key high-level hires, and moving towards a positive cash flow.Yes$40,000.00NaNNaNNoNaN10NaNYesBuy directly from a cooperative owned by producers or a community group that are the main suppliers of inputs for your business (for example, farmers or artisan cooperatives).NaN1-10NaNI am familiar with environmental technical terms such as circular economy, carbon footprint, responsible waste management, green financing, etc.AnotherAgreedNeutralI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoNeverAll goodRecruitment and personnel selectionNaNNaN0NaNNaNNaNNaN
6BCAG-93192025-04-15 01:40:42.0000000YesYesNaNYesChief Executive Officer/PresidentFashion and ClothingSolidifying operations: acquiring more clients, making key high-level hires, and moving towards a positive cash flow.YesI'm just checking this out from the year and what it generatesNaNNaNYes2 people2 personasNaNNoNoAnotherNaNNaNNaNNaNAnotherAgreedNeutralI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoNeverI am paying attention to what comes in and out economically! And seeking better quality in my servicesImplementation of Technologies (Digitization), SalesNaNNaNNaNNaNNaNNaNNaN
7CCCF-58482025-04-16 19:15:57.0000000YesYesNaNYesChief Executive Officer/PresidentInformation and Communication TechnologiesStarting to see strong revenue traction: the product or service is selling consistently, generating revenue, and securing key hires.Yes1,512,871.46Increased12%Yes1500NoAnotherNaNNaNNaNI am eager to learn more about this.NaNAgreedNeutralI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.YesAlways/Every timeThe community has been a very good tool for connecting and developing.Finance (organization systems) and financial business planning, Taxes, Marketing and Value communicationNaNNaN1-51-51-500
8JICJ-94262025-04-17 00:55:34.0000000YesYesNaNNoEmployeeProduct MarketingProblem identification: You have identified a problem, but you do not have a solution idea yet.Yes$60,000.00Increased$10000.00NoNaN10NoNoNaNNaNNaNNaNI understand and apply environmental principles.Obtain sustainable materials or packagingAgreedAgreedI never accept bribes and this was something I learned during CMF Marketplace Mexico - Sinapis.NoAlways/Every timeNoMarketing and Value Communication, SalesNaNNaN1-5NaNNaNNaNNaN
9EFBB-30552025-04-17 16:41:29.0000000YesNoNaNYesChief Executive Officer/PresidentManufacturing: Automotive, Wood, Textile.Idea/Concept: He formed an idea, but has not yet built a prototype or taken his product/service to the market.NoNaNNaNNaNYes1 designerNaN1if I still don't have it completeYesAnotherNaN1-10NaNI am familiar with environmental technical terms such as circular economy, carbon footprint, responsible waste management, green financing, etc.NaNAgreedCompletely disagreeI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeNaNMarketing and Value CommunicationNaNNaN1-5NaN1-5NaNNaN
respondentIdansweredAtDo you give your consent for us to collect your data?Do you currently have a business operating?Please provide the name of your businessDid you found or co-found the business?What is your position in the business?In which sector does your business operate?How would you classify the current stage of your business?Is your company officially registered with the SAT?During the past year, how much revenue (sales/turnover) did your company generate PER MONTH? If you have a business but have not generated any revenue yet, please write 0. Use the local currency.Does the previous number represent an increase or a decrease in your business income compared to the previous year?If you answered Increased or Decreased, can you estimate by how much it increased or decreased?Did you hire new people compared to last year?If the answer is yes, how many more people did you hire?How many full-time paid employees, including yourself, do you currently have? (an estimate is fine). If it's just you, please put 1.How many PART-TIME paid employees (including casual workers) do you currently have? (an estimate is fine).Did you raise external investments for your business in the past through family, friends, financial institutions, or other sources of investment capital? If so, how much? Calculate the exact accumulated investment (in local currency). DO NOT include your own savings (an estimate is fine).Does your company work directly or indirectly with your community and/or your supply chains?In which of the following ways does your company work with the community/supply chain?If possible, please explain in more detail how your company is related to the community/supply chain.Calculate how many of these people experience a better quality of life by working directly or indirectly to benefit the stakeholders of the community indicated in the previous answers (be as precise as possible!)If you answered More than 1000, calculate the exact number.What is your sustainable business approach regarding environmental care?What environmental sustainability practices have you incorporated into your business?To what extent do you agree with the following statement? My experience with Aspire - Sinapis (during the program and post-program as an alumni) continues to have a significant impact on the results of my current business.To what extent do you agree with the statement? CMF Marketplace Mexico - Sinapis saved my business from failure.How does it feel to pay or accept a bribe?Since completing the CMF Marketplace Mexico - Sinapis program, have you been asked to pay or accept any bribes?How many times did you refuse to pay or accept a bribe as a direct result of your experience with CMF Marketplace Mexico - Sinapis?Do you have any comments you would like to share about how your experience with CMF Marketplace Mexico - Sinapis has continued to impact you or your business?In which areas of your business are you facing the most difficulties? In which areas do you feel you need more training? (You can select more than one option).Please write your full name.Please share the best phone number to contact you.Understood what a Kingdom business is and/or been able to describe it to othersReceived information about the Gospel and wanted to know morePrayer request and/or prayed with you or with a colleagueBecome believers in Jesus ChristDeveloped a deeper relationship with Jesus and other believers
8JICJ-94262025-04-17 00:55:34.0000000YesYesNaNNoEmployeeProduct MarketingProblem identification: You have identified a problem, but you do not have a solution idea yet.Yes$60,000.00Increased$10000.00NoNaN10NoNoNaNNaNNaNNaNI understand and apply environmental principles.Obtain sustainable materials or packagingAgreedAgreedI never accept bribes and this was something I learned during CMF Marketplace Mexico - Sinapis.NoAlways/Every timeNoMarketing and Value Communication, SalesNaNNaN1-5NaNNaNNaNNaN
9EFBB-30552025-04-17 16:41:29.0000000YesNoNaNYesChief Executive Officer/PresidentManufacturing: Automotive, Wood, Textile.Idea/Concept: He formed an idea, but has not yet built a prototype or taken his product/service to the market.NoNaNNaNNaNYes1 designerNaN1if I still don't have it completeYesAnotherNaN1-10NaNI am familiar with environmental technical terms such as circular economy, carbon footprint, responsible waste management, green financing, etc.NaNAgreedCompletely disagreeI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeNaNMarketing and Value CommunicationNaNNaN1-5NaN1-5NaNNaN
10CEJJ-53412025-04-17 22:52:16.0000000YesYesNaNYesChief Executive Officer/PresidentFinancialNaNYesNaNNaNNaNNoI only have one person20NaNNoAnotherThe previous question does not apply to me.NaNNaNNaNNaNNeutralNeutralI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeNaNBalance between work and personal life as an entrepreneur, Finance (organization systems) and business financial planning, Implementation of Technologies (Digitalization), Personal/family financial planning, SalesNaNNaNMore than 50000
11JFEH-98172025-04-22 01:54:04.0000000YesYesNaNYesChief Executive Officer/PresidentManufacturing: Automotive, Wood, Textile.Starting to see strong revenue traction: the product or service is selling consistently, generating revenue, and securing key hires.Yes20,000NaNNaNNoNaN04NoNoNaNNaNNaNNaNI am eager to learn more about this.Renewable energies or Energy efficiencyI totally agreeNeutralIt depends on the situation.NoNeverNaNFinance (organization systems) and financial planning for the businessNaNNaN000NaNNaN
12BAGE-69222025-04-22 03:56:48.0000000YesNoNaNYesChief Executive Officer/PresidentProduct MarketingFailedNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
13GCDE-93802025-04-23 02:48:17.0000000YesYesNaNYesAnother Executive PositionProduct MarketingCustomer traction/early revenue: product in small markets, generating early revenue and likely making initial hires.No30kIncreased6%NoNaN1NaNNoYesSupport primary producers with subsidized inputs and training with the aim of eventually buying their products or finding a market for them.All the raw material comes from local businesses1-10NaNI am eager to learn more about this.NaNI totally agreeI totally agreeI never accept bribes and this was something I learned during CMF Marketplace Mexico - Sinapis.NoNeverThe teachings of the course have guided me to make better decisions.Personal/family financial planning, Using my business as a space to share my faith and/or valuesNaNNaN1-51-51-51-51-5
14FDJH-36932025-04-23 04:40:13.0000000YesYesNaNYesChief Executive Officer/PresidentEnergy: Oil, Solar, Electricity.Solidifying operations: acquiring more clients, making key high-level hires, and moving towards a positive cash flow.Yes$250 million pesosIt decreasedrevenue decreased But it is more profitableNoNaN18noYesRegularly purchase from informal individuals who provide services/products for your business (e.g. artisans, delivery persons, etc.).We are a key part in the construction of a property.1-10NaNNaNResponsible waste managementI totally agreeDisagreeI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.YesNeverYes! I structure myself.Integrate my faith and/or values into the operations of my businessNaNNaNNaNNaN1-5NaNNaN
15FBIC-59052025-04-23 14:43:05.0000000YesYesNaNYesChief Executive Officer/PresidentFashion and ClothingCustomer traction/early revenue: product in small markets, generating early revenue and likely making initial hires.No4000Increased2000NoNaN111000YesAnotherI will only sell my products and later I will give classes to make my items since there is interest from people.1-10NaNI am eager to learn more about this.Circularity (reduce, reuse, and recycle)I totally agreeI totally agreeI never accept bribes and this was something I learned during CMF Marketplace Mexico - Sinapis.NoNeverNaNSalesNaNNaN1-5NaNNaNNaNNaN
16CIAG-95002025-04-24 03:25:19.0000000YesYesNaNYesChief Executive Officer/PresidentInformal SectorIdea/Concept: He formed an idea, but has not yet built a prototype or taken his product/service to the market.No$4950 over four months, as the amount fluctuates.IncreasedIn 2023 I received $2925 for 5 months and the amount was also variable.NoNaN1NaNNo. I invested everything with the money from my business and my other job.YesAnotherThe language creates the need to communicate with the missionaries of the Church. The students who are already there put it into practice, and in this way, the possibility of traveling abroad in the future is being mentioned.1-10NaNI am eager to learn more about this.Circularity (reduce, reuse, and recycle), Conserve waterI totally agreeI totally agreeI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeJust at the end of 2024, I experienced problems receiving my salary at my other job because they were delayed by 4 months, and when I looked at the numbers of this business, I hadn't realized how supported I have been by the hand of the Lord.Balance between work and personal life as an entrepreneur, Finance (organization systems) and business financial planning, Taxes, Legal, Marketing and Value communication, Personal/family financial planning, SalesNaNNaNMore than 51-51-51-51-5
17FEBB-61852025-05-10 05:13:07.0000000YesYesNaNYesChief Executive Officer/PresidentAgriculture / AgroprocessingCustomer traction/early revenue: product in small markets, generating early revenue and likely making initial hires.Yes35 thousandIncreased5%Yes321NoYesSupport primary producers with subsidized inputs and training with the aim of eventually buying their products or finding a market for them.NaNNaNNaNI am familiar with environmental technical terms such as circular economy, carbon footprint, responsible waste management, green financing, etc.Circularity (reduce, reuse, recycle), Conserve water, Renewable energies or Energy efficiencyAgreedNeutralI never accept bribes, and this was something I did even before CMF Marketplace Mexico - Sinapis.NoAlways/Every timeThe time they take to pray for meFinance (organization systems) and financial business planning, Marketing and Value communicationNaNNaN1-51-51-51-5NaN